{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "07ccfbc1-bc83-43bf-849e-4c49c5c1bbb3",
   "metadata": {},
   "source": [
    "# matplotlib 入门"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "526e8e80-0c29-44fc-82bd-a5fcffe785ac",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "573b814c-fb61-40e3-8934-ea6acf531b7c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = np.arange(10)\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c2380b5c-dca9-44ad-909e-be36b9a18178",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fcc30fa09a0>]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5ccf0503-82ab-452b-88a2-7a8975839fb6",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Figures and Subplots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "87a63cff-43aa-4239-bf6d-e9edba994277",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax1 = fig.add_subplot(2,2,1)\n",
    "ax2 = fig.add_subplot(2,2,2)\n",
    "ax3 = fig.add_subplot(2,2,3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "44a8c834-18bb-4dee-a31a-47871a4e23e7",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fcc30d63bb0>]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax3.plot(np.random.standard_normal(50).cumsum(), color=\"black\", linestyle=\"dashed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "dd1dd409-d4fa-4b1a-8acc-e78cbed86db6",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 3 Axes>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax1.hist(np.random.standard_normal(100), bins=20, color=\"black\", alpha=0.3);\n",
    "ax2.scatter(np.arange(30), np.arange(30) + 3 * np.random.standard_normal(30));\n",
    "fig"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "dc75f2c3-d5b1-4acf-9450-b98d4be9fadf",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(2, 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "4292cdb4-ae19-4315-af27-393ca8ce6ff0",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<AxesSubplot: >, <AxesSubplot: >, <AxesSubplot: >],\n",
       "       [<AxesSubplot: >, <AxesSubplot: >, <AxesSubplot: >]], dtype=object)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "axes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9a05e986-030a-4117-ac02-343af2d45ded",
   "metadata": {},
   "source": [
    "## adjusting the spacing around subplots"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "91afbe1c-6dae-4fe7-bbe3-f8619638f2f6",
   "metadata": {},
   "source": [
    "subplots_adjust(left=None,bottom=None,right=None,top=None,wspace=None,hspace=None)\n",
    "\n",
    "wspace and hspace control the percent of the figure width and figure height."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e734cf6c-e7f2-401f-8443-9839c8cd69ed",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(2,2,sharex=True,sharey=True)\n",
    "for i in range(2):\n",
    "    for j in range(2):\n",
    "        axes[i,j].hist(np.random.standard_normal(500),bins=50,color=\"black\",alpha=0.5)\n",
    "fig.subplots_adjust(wspace=0, hspace=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e42f1983-cb2e-47ec-b3e6-2aa98d64303e",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
